Hyper-CycleGAN: A New Adversarial Neural Network Architecture for Cross-Domain Hyperspectral Data Generation

The scarcity of labeled training samples poses a significant challenge in hyperspectral image classification. Cross-scene classification has been shown to be an effective approach to tackle the problem of limited sample learning. This paper investigates the usage of generative adversarial networks (...

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Bibliografske podrobnosti

Principais autores:	Yibo He, Kah Phooi Seng, Li Minn Ang, Bei Peng, Xingyu Zhao
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-04-01
Serija:	Applied Sciences
Teme:	hyperspectral data data analytics adversarial neural network generative adversarial network
Online dostop:	https://www.mdpi.com/2076-3417/15/8/4188
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